Infectious complications of car T‐cell therapy: A longitudinal risk model

Author:

Czapka Michael T.1ORCID,Riedell Peter A.2,Pisano Jennifer C.1

Affiliation:

1. Department of Medicine Section of Infectious Disease University of Chicago Chicago Illinois USA

2. Department of Medicine Section of Hematology and Oncology University of Chicago Chicago Illinois USA

Abstract

AbstractBackgroundCAR T‐cell therapy, where a patient's own T cells are re‐engineered to express a receptor to a target of interest, is becoming an increasingly utilized cancer‐directed therapy. There are significant toxicities that contribute to a novel state of immunocompromise, leading to new patterns of infectious complications that require further detailed study.MethodsWe created a single‐center cohort of adult recipients of CD19‐directed CAR T‐cell therapy and assessed infectious outcomes, supportive care received, toxicities, and markers of immune function up to 2 years following CAR T‐cell therapy. Descriptive statistics were used as appropriate for analysis. We additionally conducted time‐to‐event analysis assessing time‐to‐first infection with either log‐rank testing or Cox regression with univariate analysis, before including significant predictors into a multivariate Cox model of time to infection.ResultsWe identified 73 patients who received CD19‐directed CAR T‐cell therapy who predominantly had diffuse large B‐cell lymphoma. Within 30 days of cell infusion, bacterial and Candida infections were the most common, with 64% of infections due to these organisms. Between 30 days and 2 years postinfusion, respiratory viruses and pneumonia were the most frequent infections, with 68% of infections due to these etiologies. Receipt of tocilizumab, development of immune effector cell‐associated neurotoxicity syndrome (ICANS), or lower neutrophil count were associated with quicker onset of infection in a multivariate Cox model. imageConclusionsRespiratory viruses remain an important infectious complication of CAR T‐cell therapy following the first year. The model may be a useful tool to identify patients at the highest risk of infection.

Publisher

Wiley

Subject

Infectious Diseases,Transplantation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3